ordinal v2019.4-25

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Regression Models for Ordinal Data

Implementation of cumulative link (mixed) models also known as ordered regression models, proportional odds models, proportional hazards models for grouped survival times and ordered logit/probit/... models. Estimation is via maximum likelihood and mixed models are fitted with the Laplace approximation and adaptive Gauss-Hermite quadrature. Multiple random effect terms are allowed and they may be nested, crossed or partially nested/crossed. Restrictions of symmetry and equidistance can be imposed on the thresholds (cut-points/intercepts). Standard model methods are available (summary, anova, drop-methods, step, confint, predict etc.) in addition to profile methods and slice methods for visualizing the likelihood function and checking convergence.

Functions in ordinal

Name Description
ranef Extract conditional modes and conditional variances from clmm objects
confint.clm2 Confidence intervals and profile likelihoods for parameters in cumulative link models
clmm2 Cumulative link mixed models
convergence Check convergence of cumulative link models
clm2.control Set control parameters for cumulative link models
drop.coef Ensure Full Rank Design Matrix
clm.fit Fit Cumulative Link Models
soup Discrimination study of packet soup
update.clm2 Update method for cumulative link models
slice Slice the likelihood of a clm
gfun Gradients of common densities
wine Bitterness of wine
gumbel The Gumbel Distribution
clmm.control Set control parameters for cumulative link mixed models
clmm2.control Set control parameters for cumulative link mixed models
addterm.clm2 Try all one-term additions to and deletions from a model
income Income distribution (percentages) in the Northeast US
predict.clm Predict Method for CLM fits
confint Confidence intervals and profile likelihoods for parameters in cumulative link models
predict.clm2 Predict Method for CLM fits
lgamma The log-gamma distribution
nominal_test Likelihood ratio tests of model terms in scale and nominal formulae
ordinal-package Regression Models for Ordinal Data via Cumulative Link (Mixed) Models
VarCorr Extract variance and correlation parameters
anova.clm2 Likelihood ratio test of cumulative link models
clm Cumulative Link Models
anova.clm ANODE Tables and Likelihood ratio test of cumulative link models
clm.control Set control parameters for cumulative link models
profile.clmm2 Confidence intervals and profile likelihoods for the standard deviation for the random term in cumulative link mixed models
clm2 Cumulative link models
clmm Cumulative Link Mixed Models
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Vignettes of ordinal

Name
static_figs/fig-fig2.pdf
static_figs/fig-figEqui.pdf
static_figs/fig-figFlex.pdf
static_figs/fig-figNom2.pdf
static_figs/fig-figSca.pdf
clm_article.Rnw
clm_article_refs.bib
clmm2_tutorial.Rnw
ordinal.bib
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Details

Type Package
Date 2019-04-25
LazyData true
ByteCompile yes
License GPL (>= 2)
NeedsCompilation yes
URL https://github.com/runehaubo/ordinal
BugReports https://github.com/runehaubo/ordinal/issues
Packaged 2019-04-25 18:44:48 UTC; rhbc
Repository CRAN
Date/Publication 2019-04-25 20:30:04 UTC

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